Term 252

Optimizing Naphtha Allocation Between Refinery and Petrochemical Units

Project Type: Self-Initiated

Project Description

The project develops a hybrid prototype integrating a computer-based optimization model with a scaled physical flow loop for feedstock allocation in refinery–petrochemical systems. The digital component uses linear programming to generate optimal decisions under dynamic conditions, while Arena Simulation Software is used for scenario generation and performance evaluation. Key performance indicators include profit, energy use, CO2 intensity, and feasibility, with process data derived from Aspen HYSYS. The physical setup demonstrates flow behavior, pressure losses, and thermal constraints. Together, the system links optimization outputs with real-world behavior, enabling validation and data-driven decision-making.